Data Engineer

GD Information Technology•Fairview Park, OH

8h•$119,000 - $161,000•Hybrid

About The Position

Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As a Data Engineer at GDIT, you’ll power innovation to drive mission impact and grow your expertise to power your career forward. We are a fast-growing AI and Data team within the Global CIO organization at GDIT. We design and deliver enterprise-grade solutions that integrate AI, data, and human-AI collaboration workflows across key business functions (e.g., Growth, Finance, HR, Legal, and Supply Chain). We are looking for a highly skilled Data Engineer (Agentic AI) who shares a passion for delivering data engineering for agentic AI applications and building an AI-first data ecosystem foundational to enterprise AI transformation. MEANINGFUL WORK AND PERSONAL IMPACT: Design, build, and operate scalable end-to-end data pipelines and curated data products that support enterprise analytics and agentic AI use cases Integrate data from enterprise systems and external sources, including structured, semi-structured, and unstructured data Deliver reliable data services for agentic AI workflows, including APIs, retrieval/indexing, and governed context delivery for AI agents Implement data quality, observability, and governance best practices across data pipelines and products Optimize performance and cost across storage, compute, orchestration, and serving layers Collaborate with cross-functional teams, including business stakeholders, AI engineers, and software developers, to translate requirements into production solutions

Requirements

Bachelor’s degree in Computer Science/Engineering, Data Science, or a related field
5+ years of experience delivering production-grade data engineering across databases, data integration, data services, and data governance
Proficiency in programming languages (Python or Java) and databases (SQL and NoSQL)
Strong collaboration and communication skills in cross-functional enterprise environments

Nice To Haves

Master’s degree in Computer Science/Engineering, Data Science, or a related field.
Relevant certifications in Data Engineering, AI, or Cloud.
Experience delivering data engineering for agentic AI applications.
Experience with retrieval-based AI data foundations (document processing, metadata, embeddings, vector or hybrid search).
Familiarity with agent workflows and how agents interact with data services and tools in production.
Experience with lakehouse architectures and cloud data platforms such as Azure (preferred), OCI (preferred), or AWS,
Experience in real-time streaming applications or other high-velocity solutions.
Experience leveraging AI tools to improve data engineering productivity and quality in coding, testing, and documentation.

Responsibilities

Design, build, and operate scalable end-to-end data pipelines and curated data products that support enterprise analytics and agentic AI use cases
Integrate data from enterprise systems and external sources, including structured, semi-structured, and unstructured data
Deliver reliable data services for agentic AI workflows, including APIs, retrieval/indexing, and governed context delivery for AI agents
Implement data quality, observability, and governance best practices across data pipelines and products
Optimize performance and cost across storage, compute, orchestration, and serving layers
Collaborate with cross-functional teams, including business stakeholders, AI engineers, and software developers, to translate requirements into production solutions